Smart posting with data analytics

ABSTRACT

Provided are techniques for smart posting with data analytics. A message is received before the message is posted to a social media service. The message is analyzed using data analytics to obtain analysis results. The obtained analysis results are compared to similar analysis results stored for at least one pre-existing message. For one or more correlations between the message and at least one pre-existing message, one or more contributing terms that have semantic meaning within a context of the social media service are determined. Based on the one or more contributing terms, one or more suggestions for improving the message are generated. The message is modified based on the one or more suggestions.

FIELD

Embodiments of the invention relate to smart posting with dataanalytics.

BACKGROUND

Social media may be described as an electronic means of communicating orsharing of information and ideas over a network (e.g., the internet) ormeans of interactions among people in virtual, on-line communities tocreate, share, and exchange information and ideas. A post may bedescribed as a message submitted in the context of social media (e.g.,submitted to a social discussion service).

With so many users leveraging social media, many posts may be maderegarding the same topic. Thus, there is redundancy of these posts,which leads to users being inundated with similar posts.

SUMMARY

Provided is a method, computer program product, and computer system forsmart posting with data analytics. A message is received, using aprocessor of a computer, before the message is posted to a social mediaservice. The message is analyzed, using the processor of the computer,using data analytics to obtain analysis results. The obtained analysisresults are compared, using the processor of the computer, to similaranalysis results stored for at least one pre-existing message. For oneor more correlations between the message and at least one pre-existingmessage, one or more contributing terms that have semantic meaningwithin a context of the social media service are determined using theprocessor of the computer. Based on the one or more contributing terms,one or more suggestions for improving the message are generated usingthe processor of the computer. The message is modified, using theprocessor of the computer, based on the one or more suggestions.

Provided is a computer program product for smart posting with dataanalytics. The computer program product comprises a computer readablestorage medium having program code embodied therewith, the program codeexecutable by at least one processor to: receive, by the at least oneprocessor, a message before the message is posted to a social mediaservice; analyze, by the at least one processor, the message using dataanalytics to obtain analysis results; compare, by the at least oneprocessor, the obtained analysis results to similar analysis resultsstored for at least one pre-existing message; for one or morecorrelations between the message and the at least one pre-existingmessage, determine, by the at least one processor, one or morecontributing terms that have semantic meaning within a context of thesocial media service; based on the one or more contributing terms,generate, by the at least one processor, one or more suggestions forimproving the message; and modify, by the at least one processor, themessage based on the one or more suggestions.

Provided is a computer system for smart posting with data analytics. Thecomputer system includes one or more processors, one or morecomputer-readable memories, and one or more computer-readable, tangiblestorage devices, and program instructions, stored on at least one of theone or more computer-readable, tangible storage devices for execution byat least one of the one or more processors via at least one of the oneor more memories, to: receive a message before the message is posted toa social media service; analyze the message using data analytics toobtain analysis results; compare the obtained analysis results tosimilar analysis results stored for at least one pre-existing message;for one or more correlations between the message and the at least onepre-existing message, determine one or more contributing terms that havesemantic meaning within a context of the social media service; based onthe one or more contributing terms, generate one or more suggestions forimproving the message; and modify the message based on the one or moresuggestions.

BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWINGS

Referring now to the drawings in which like reference numbers representcorresponding parts throughout:

FIG. 1 illustrates a computing environment in accordance with certainembodiments.

FIG. 2 illustrates operations for analyzing a message and providingsuggestions in accordance with certain embodiments. FIG. 2 is formed byFIGS. 2A and 2B.

FIG. 3 illustrates a cloud computing node in accordance with certainembodiments.

FIG. 4 illustrates a cloud computing environment in accordance withcertain embodiments.

FIG. 5 illustrates abstraction model layers in accordance with certainembodiments.

DETAILED DESCRIPTION

The descriptions of the various embodiments of the present inventionhave been presented for purposes of illustration, but are not intendedto be exhaustive or limited to the embodiments disclosed. Manymodifications and variations will be apparent to those of ordinary skillin the art without departing from the scope and spirit of the describedembodiments. The terminology used herein was chosen to best explain theprinciples of the embodiments, the practical application or technicalimprovement over technologies found in the marketplace, or to enableothers of ordinary skill in the art to understand the embodimentsdisclosed herein.

FIG. 1 illustrates a computing environment in accordance with certainembodiments. A computing device 100 includes a smart posting engine 110.The computing device 100 is coupled to a data store 150. The data store150 includes one or more messages 160 (e.g., pre-existing messages),analysis information 170, and one or more suggestions 180. The smartposting engine 110 uses the analysis information 170 to analyze amessage 160 and provide suggestions 180 to the user who generated themessage 160.

The smart posting engine 110 offers users options to go along with theirposts in order to increase the value of the posts. These options mayreduce redundancy by providing alerts to users about additional messagesthat have been posted (by the same or other users), supplementalinformation on the topic of the message to ensure post content accuracy,and advice to properly tag the message.

FIG. 2 illustrates operations for analyzing a message and providingsuggestions in accordance with certain embodiments. FIG. 2 is formed byFIGS. 2A and 2B. Control begins at block 200 with the smart postingengine 110 receiving a message before the message is posted. In certainembodiments, a user enters a comment regarding a topic for posting, andthat comment is the message. As another example, a user enters aquestions or requests assistance, comments, opinions, annotations, etc.

In block 202, the smart posting engine 110 analyzes the message based onvarious factors. In certain embodiments, the smart posting engine 110uses data analytics (e.g., text analytics or other data miningtechniques) to analyze the message.

In certain embodiments, the smart posting engine 110 uses data analyticsto analyze a message, compares the results of those analytics to similarresults of analytics performed on a pre-existing body of other messages,and, for each strong correlation between the message and the existingbody of messages, determines strong contributing terms that havesemantic meaning within the context of the social service (e.g.,cross-references, hashtags, names, locations, or event, etc.), andprovides a ranked list of suggestions (e.g., improvements) to themessage based on the strengths of the correlations (e.g., either bymodifying elements of the original message or by adding additionalcontent or meta-information to the message). In certain embodiments,text and data that appear to be used contextually in a same manner(e.g., keywords, phrases, names, places, events or hashtags, etc.) maybe said to have a correlation. The more commonalities between thereceived/analyzed message and an existing message in the body ofmessages, the stronger the correlation between the message and theexisting message. In certain embodiments, semantic meaning may bedescribed as determining a user's intention of terms (e.g., bytranslating slang, metaphors, analogies to real meaning to match in dataanalysis). Strong contributing terms may be described as those termsthat have semantic meaning such that the terms are related to thecontext of the social service

In certain embodiments, the smart posting engine 110 gauges that theuser wants to post the message regarding a particular topic, based onfactors such as, for example:

-   -   content of the message to be posted by the user;    -   content of the messages posted by the user's peers;    -   content of messages “in-flight” (i.e., about to be posted by any        user);    -   content of the messages made by all others who posted;    -   level of recognition of an event, news item, etc. (nationwide,        local, etc.)

In block 204, the smart posting engine 110 generates suggestions basedon analysis of the message. In certain embodiments, the smart postingengine 110 intercepts the message, analyzes the message, and generatessuggestions. In certain embodiments, when the user clicks to post themessage, the smart posting engine 110 proposes the suggestions to theuser.

In certain embodiments, network analytics may be described ascomparisons to other postings/data available on the network. In certainembodiments, the smart posting engine 110 generates suggestions, such asthe following, based on network analytics related to the message:

-   -   add a person, hashtag, or article to the message?    -   add information about another message posted on this topic?    -   add a relevant article, link, etc. to the message? (In this        case, a user may also review such article, link, etc. and        consider speaking about the article, link, etc. in the message.)

In block 206, the smart posting engine 110 determines whether to modifythe message. If so, processing continues to block 208, otherwise,processing continues to block 212 (FIG. 2B). In certain embodiments, thesmart posting engine 110 automatically modifies the message. In certainembodiments, the smart posting engine 110 modifies the message based oncertain factors. For example, the smart posting engine 110 may modifythe message (e.g., via an optional feature turned on in cases ofmisspellings, factually incorrect data or incorrect references, misuseof hashtags or mis-tagging, etc.). In certain embodiments, the userconsiders the suggestions proposed by the smart posting engine 110 inorder to increase the value of the originally intended message andindicates whether or not the message is to be changed. Changing themessage based on the suggestions is intended to make the message asmarter posting.

In block 208, the smart posting engine 110 modifies the message based onsuggestions. From block 208 (FIG. 2A), processing continues to block 210(FIG. 2B).

In block 210, the smart posting engine 110 determines whether to analyzethe modified message. In certain embodiments, the smart posting engine110 determines whether to modify the message based on certain factors(e.g., whether the message is relevant, a number of times that themessage has already been modified, etc.). In certain embodiments, thesmart posting engine 110 assumes that there is a body of meaning (e.g.,people writing about a car accident) that remains the same, whileperipheral information changes. For example people may include therelated injuries, additional lights, stop signs, car improvements, etc,as a result of that car accident. In certain embodiments, the smartposting engine 110 determines whether to modify the message based onuser input. If the message is to be modified, processing goes to block202 (FIG. 2A), otherwise, processing goes to block 212 (FIG. 2B).

In block 212, the smart posting engine 110 stores the message andanalysis information about the message for use in analyzing othermessages. The other message may be subsequently received messages orpreviously received messages (e.g., that are analyzed to assist the userin learning to post smarter messages). In certain embodiments, theanalysis information includes, for example, common correct or incorrectreferences, grammar, style, associations, hashtags, names, places,events, historical facts associated to such postings, etc.

In block 214, the message is posted (either by the smart posting engine110 or by the user). In certain embodiments, the message has beenmodified in block 208 one or more times before being posted.

In certain embodiments, in block 210, the smart posting engine 110performs a “sanity” check on the new message after modification toensure that this modified message still is relevant and makes sense. Forexample, during a football game, assume that the power goes out, whichprompted numerous postings about the power. For a user who did not knowhow to post, the user may type in: “#footballgame#outage #Dallas, andsmart posting engine 110 may suggest that this should be changed to#footballgame#outage#NewOrleans. If the user accepts this modification,the smart posting engine 110 validates any other changes and posts themessage. As this message is posted, the message is now stored for use inanalyzing other messages.

In certain embodiments, the smart posting engine 110 assists users inimproving the quality of a message to be posted to a social discussionservice. In certain embodiments, the smart posting engine 110 providesuser interfaces so those improvements may be made by the user as part ofthe posting process.

In certain embodiments, the smart posting engine 110 offers usersoptions to go along with messages to be posted in order to increase thevalue of the messages. These options that may reduce redundancy byproviding alerts to additional messages, by providing supplementalinformation on the topic of the message to help the user ensure messagecontent accuracy, and by providing advice to properly tag the individualmessage.

In certain embodiments, the smart posting engine 110 enables a user toenter a message (e.g., a comment) regarding a topic for posting, gaugesthat the user wants to post the message regarding the topic, and, inresponse to the user entering the post (e.g., by clicking an “enter”button on a keyboard or with a mouse click), providing suggestions tothe user. The user may then take these suggestions into consideration tomodify the message to provide a smarter posting.

Cloud Computing

It is understood in advance that although this disclosure includes adetailed description on cloud computing, implementation of the teachingsrecited herein are not limited to a cloud computing environment. Rather,embodiments of the present invention are capable of being implemented inconjunction with any other type of computing environment now known orlater developed.

Cloud computing is a model of service delivery for enabling convenient,on-demand network access to a shared pool of configurable computingresources (e.g. networks, network bandwidth, servers, processing,memory, storage, applications, virtual machines, and services) that canbe rapidly provisioned and released with minimal management effort orinteraction with a provider of the service. This cloud model may includeat least five characteristics, at least three service models, and atleast four deployment models.

Characteristics are as follows:

On-demand self-service: a cloud consumer can unilaterally provisioncomputing capabilities, such as server time and network storage, asneeded automatically without requiring human interaction with theservice's provider.

Broad network access: capabilities are available over a network andaccessed through standard mechanisms that promote use by heterogeneousthin or thick client platforms (e.g., mobile phones, laptops, and PDAs).

Resource pooling: the provider's computing resources are pooled to servemultiple consumers using a multi-tenant model, with different physicaland virtual resources dynamically assigned and reassigned according todemand. There is a sense of location independence in that the consumergenerally has no control or knowledge over the exact location of theprovided resources but may be able to specify location at a higher levelof abstraction (e.g., country, state, or datacenter).

Rapid elasticity: capabilities can be rapidly and elasticallyprovisioned, in some cases automatically, to quickly scale out andrapidly released to quickly scale in. To the consumer, the capabilitiesavailable for provisioning often appear to be unlimited and can bepurchased in any quantity at any time.

Measured service: cloud systems automatically control and optimizeresource use by leveraging a metering capability at some level ofabstraction appropriate to the type of service (e.g., storage,processing, bandwidth, and active user accounts). Resource usage can bemonitored, controlled, and reported providing transparency for both theprovider and consumer of the utilized service.

Service Models are as follows:

Software as a Service (SaaS): the capability provided to the consumer isto use the provider's applications running on a cloud infrastructure.The applications are accessible from various client devices through athin client interface such as a web browser (e.g., web-based email). Theconsumer does not manage or control the underlying cloud infrastructureincluding network, servers, operating systems, storage, or evenindividual application capabilities, with the possible exception oflimited user-specific application configuration settings.

Platform as a Service (PaaS): the capability provided to the consumer isto deploy onto the cloud infrastructure consumer-created or acquiredapplications created using programming languages and tools supported bythe provider. The consumer does not manage or control the underlyingcloud infrastructure including networks, servers, operating systems, orstorage, but has control over the deployed applications and possiblyapplication hosting environment configurations.

Infrastructure as a Service (IaaS): the capability provided to theconsumer is to provision processing, storage, networks, and otherfundamental computing resources where the consumer is able to deploy andrun arbitrary software, which can include operating systems andapplications. The consumer does not manage or control the underlyingcloud infrastructure but has control over operating systems, storage,deployed applications, and possibly limited control of select networkingcomponents (e.g., host firewalls).

Deployment Models are as follows:

Private cloud: the cloud infrastructure is operated solely for anorganization. It may be managed by the organization or a third party andmay exist on-premises or off-premises.

Community cloud: the cloud infrastructure is shared by severalorganizations and supports a specific community that has shared concerns(e.g., mission, security requirements, policy, and complianceconsiderations). It may be managed by the organizations or a third partyand may exist on-premises or off-premises.

Public cloud: the cloud infrastructure is made available to the generalpublic or a large industry group and is owned by an organization sellingcloud services.

Hybrid cloud: the cloud infrastructure is a composition of two or moreclouds (private, community, or public) that remain unique entities butare bound together by standardized or proprietary technology thatenables data and application portability (e.g., cloud bursting for loadbalancing between clouds).

A cloud computing environment is service oriented with a focus onstatelessness, low coupling, modularity, and semantic interoperability.At the heart of cloud computing is an infrastructure comprising anetwork of interconnected nodes.

Referring now to FIG. 3, a schematic of an example of a cloud computingnode is shown. Cloud computing node 310 is only one example of asuitable cloud computing node and is not intended to suggest anylimitation as to the scope of use or functionality of embodiments of theinvention described herein. Regardless, cloud computing node 310 iscapable of being implemented and/or performing any of the functionalityset forth hereinabove.

In cloud computing node 310 there is a computer system/server 312, whichis operational with numerous other general purpose or special purposecomputing system environments or configurations. Examples of well-knowncomputing systems, environments, and/or configurations that may besuitable for use with computer system/server 312 include, but are notlimited to, personal computer systems, server computer systems, thinclients, thick clients, handheld or laptop devices, multiprocessorsystems, microprocessor-based systems, set top boxes, programmableconsumer electronics, network PCs, minicomputer systems, mainframecomputer systems, and distributed cloud computing environments thatinclude any of the above systems or devices, and the like.

Computer system/server 312 may be described in the general context ofcomputer system executable instructions, such as program modules, beingexecuted by a computer system. Generally, program modules may includeroutines, programs, objects, components, logic, data structures, and soon that perform particular tasks or implement particular abstract datatypes. Computer system/server 312 may be practiced in distributed cloudcomputing environments where tasks are performed by remote processingdevices that are linked through a communications network. In adistributed cloud computing environment, program modules may be locatedin both local and remote computer system storage media including memorystorage devices.

As shown in FIG. 3, computer system/server 312 in cloud computing node310 is shown in the form of a general-purpose computing device. Thecomponents of computer system/server 312 may include, but are notlimited to, one or more processors or processing units 316, a systemmemory 328, and a bus 318 that couples various system componentsincluding system memory 328 to a processor or processing unit 316.

Bus 318 represents one or more of any of several types of busstructures, including a memory bus or memory controller, a peripheralbus, an accelerated graphics port, and a processor or local bus usingany of a variety of bus architectures. By way of example, and notlimitation, such architectures include Industry Standard Architecture(ISA) bus, Micro Channel Architecture (MCA) bus, Enhanced ISA (EISA)bus, Video Electronics Standards Association (VESA) local bus, andPeripheral Component Interconnects (PCI) bus.

Computer system/server 312 typically includes a variety of computersystem readable media. Such media may be any available media that isaccessible by computer system/server 312, and it includes both volatileand non-volatile media, removable and non-removable media.

System memory 328 can include computer system readable media in the formof volatile memory, such as random access memory (RAM) 330 and/or cachememory 332. Computer system/server 312 may further include otherremovable/non-removable, volatile/non-volatile computer system storagemedia. By way of example only, storage system 334 can be provided forreading from and writing to a non-removable, non-volatile magnetic media(not shown and typically called a “hard drive”). Although not shown, amagnetic disk drive for reading from and writing to a removable,non-volatile magnetic disk (e.g., a “floppy disk”), and an optical diskdrive for reading from or writing to a removable, non-volatile opticaldisk such as a CD-ROM, DVD-ROM or other optical media can be provided.In such instances, each can be connected to bus 318 by one or more datamedia interfaces. As will be further depicted and described below,memory 328 may include at least one program product having a set (e.g.,at least one) of program modules that are configured to carry out thefunctions of embodiments of the invention.

Program/utility 340, having a set (at least one) of program modules 342,may be stored in memory 328 by way of example, and not limitation, aswell as an operating system, one or more application programs, otherprogram modules, and program data. Each of the operating system, one ormore application programs, other program modules, and program data orsome combination thereof, may include an implementation of a networkingenvironment. Program modules 342 generally carry out the functionsand/or methodologies of embodiments of the invention as describedherein.

Computer system/server 312 may also communicate with one or moreexternal devices 314 such as a keyboard, a pointing device, a display324, etc.; one or more devices that enable a user to interact withcomputer system/server 312; and/or any devices (e.g., network card,modem, etc.) that enable computer system/server 312 to communicate withone or more other computing devices. Such communication can occur viaInput/Output (I/O) interfaces 322. Still yet, computer system/server 312can communicate with one or more networks such as a local area network(LAN), a general wide area network (WAN), and/or a public network (e.g.,the Internet) via network adapter 320. As depicted, network adapter 320communicates with the other components of computer system/server 312 viabus 318. It should be understood that although not shown, other hardwareand/or software components could be used in conjunction with computersystem/server 312. Examples, include, but are not limited to: microcode,device drivers, redundant processing units, external disk drive arrays,RAID systems, tape drives, and data archival storage systems, etc.

Referring now to FIG. 4, illustrative cloud computing environment 450 isdepicted. As shown, cloud computing environment 450 comprises one ormore cloud computing nodes 310 with which local computing devices usedby cloud consumers, such as, for example, personal digital assistant(PDA) or cellular telephone 454A, desktop computer 454B, laptop computer454C, and/or automobile computer system 454N may communicate. Nodes 310may communicate with one another. They may be grouped (not shown)physically or virtually, in one or more networks, such as Private,Community, Public, or Hybrid clouds as described hereinabove, or acombination thereof. This allows cloud computing environment 450 tooffer infrastructure, platforms and/or software as services for which acloud consumer does not need to maintain resources on a local computingdevice. It is understood that the types of computing devices 454A-Nshown in FIG. 4 are intended to be illustrative only and that computingnodes 310 and cloud computing environment 450 can communicate with anytype of computerized device over any type of network and/or networkaddressable connection (e.g., using a web browser).

Referring now to FIG. 5, a set of functional abstraction layers providedby cloud computing environment 450 (FIG. 4) is shown. It should beunderstood in advance that the components, layers, and functions shownin FIG. 5 are intended to be illustrative only and embodiments of theinvention are not limited thereto. As depicted, the following layers andcorresponding functions are provided:

Hardware and software layer 560 includes hardware and softwarecomponents. Examples of hardware components include mainframes, in oneexample IBM® zSeries® systems; RISC (Reduced Instruction Set Computer)architecture based servers, in one example IBM pSeries® systems; IBMxSeries® systems; IBM BladeCenter® systems; storage devices; networksand networking components. Examples of software components includenetwork application server software, in one example IBM WebSphere®application server software; and database software, in one example IBMDB2® database software. (IBM, zSeries, pSeries, xSeries, BladeCenter,WebSphere, and DB2 are trademarks of International Business MachinesCorporation registered in many jurisdictions worldwide).

Virtualization layer 562 provides an abstraction layer from which thefollowing examples of virtual entities may be provided: virtual servers;virtual storage; virtual networks, including virtual private networks;virtual applications and operating systems; and virtual clients.

In one example, management layer 564 may provide the functions describedbelow. Resource provisioning provides dynamic procurement of computingresources and other resources that are utilized to perform tasks withinthe cloud computing environment. Metering and Pricing provide costtracking as resources are utilized within the cloud computingenvironment, and billing or invoicing for consumption of theseresources. In one example, these resources may comprise applicationsoftware licenses. Security provides identity verification for cloudconsumers and tasks, as well as protection for data and other resources.User portal provides access to the cloud computing environment forconsumers and system administrators. Service level management providescloud computing resource allocation and management such that requiredservice levels are met. Service Level Agreement (SLA) planning andfulfillment provide pre-arrangement for, and procurement of, cloudcomputing resources for which a future requirement is anticipated inaccordance with an SLA.

Workloads layer 566 provides examples of functionality for which thecloud computing environment may be utilized. Examples of workloads andfunctions which may be provided from this layer include: mapping andnavigation; software development and lifecycle management; virtualclassroom education delivery; data analytics processing; transactionprocessing; and message processing.

Thus, in certain embodiments, software or a program, implementingmessage processing in accordance with embodiments described herein, isprovided as a service in a cloud environment.

In certain embodiments, the computing device 100 has the architecture ofcomputing node 310. In certain embodiments, the computing device 100 ispart of a cloud environment. In certain alternative embodiments, thecomputing device 100 is not part of a cloud environment.

Additional Embodiment Details

As will be appreciated by one skilled in the art, aspects of the presentinvention may be embodied as a system, method or computer programproduct. Accordingly, aspects of the present invention may take the formof an entirely hardware embodiment, an entirely software embodiment(including firmware, resident software, micro-code, etc.) or anembodiment combining software and hardware aspects that may allgenerally be referred to herein as a “circuit,” “module” or “system.”Furthermore, aspects of the present invention may take the form of acomputer program product embodied in one or more computer readablemedium(s) having computer readable program code embodied thereon.

Any combination of one or more computer readable medium(s) may beutilized. The computer readable medium may be a computer readable signalmedium or a computer readable storage medium. A computer readablestorage medium may be, for example, but not limited to, an electronic,magnetic, optical, electromagnetic, infrared, or semiconductor system,apparatus, or device, or any suitable combination of the foregoing. Morespecific examples (a non-exhaustive list) of the computer readablestorage medium would include the following: an electrical connectionhaving one or more wires, a portable computer diskette, a hard disk, arandom access memory (RAM), a read-only memory (ROM), an erasableprogrammable read-only memory (EPROM or Flash memory), an optical fiber,a portable compact disc read-only memory (CD-ROM), an optical storagedevice, a magnetic storage device, or any suitable combination of theforegoing. In the context of this document, a computer readable storagemedium may be any tangible medium that can contain, or store a programfor use by or in connection with an instruction execution system,apparatus, or device.

A computer readable signal medium may include a propagated data signalwith computer readable program code embodied therein, for example, inbaseband or as part of a carrier wave. Such a propagated signal may takeany of a variety of forms, including, but not limited to,electro-magnetic, optical, or any suitable combination thereof. Acomputer readable signal medium may be any computer readable medium thatis not a computer readable storage medium and that can communicate,propagate, or transport a program for use by or in connection with aninstruction execution system, apparatus, or device.

Program code embodied on a computer readable medium may be transmittedusing any appropriate medium, including but not limited to wireless,wireline, optical fiber cable, RF, etc., or any suitable combination ofthe foregoing.

Computer program code for carrying out operations for aspects of thepresent invention may be written in any combination of one or moreprogramming languages, including an object oriented programming languagesuch as Java, Smalltalk, C++ or the like and conventional proceduralprogramming languages, such as the “C” programming language or similarprogramming languages. The program code may execute entirely on theuser's computer, partly on the user's computer, as a stand-alonesoftware package, partly on the user's computer and partly on a remotecomputer or entirely on the remote computer or server. In the latterscenario, the remote computer may be connected to the user's computerthrough any type of network, including a local area network (LAN) or awide area network (WAN), or the connection may be made to an externalcomputer (for example, through the Internet using an Internet ServiceProvider).

Aspects of the present invention are described below with reference toflow diagram (e.g., flowchart) illustrations and/or block diagrams ofmethods, apparatus (systems) and computer program products according toembodiments of the invention. It will be understood that each block ofthe flowchart illustrations and/or block diagrams, and combinations ofblocks in the flowchart illustrations and/or block diagrams, can beimplemented by computer program instructions. These computer programinstructions may be provided to a processor of a general purposecomputer, special purpose computer, or other programmable dataprocessing apparatus to produce a machine, such that the instructions,which execute via the processor of the computer or other programmabledata processing apparatus, create means for implementing thefunctions/acts specified in the flowchart and/or block diagram block orblocks.

These computer program instructions may also be stored in a computerreadable medium that can direct a computer, other programmable dataprocessing apparatus, or other devices to function in a particularmanner, such that the instructions stored in the computer readablemedium produce an article of manufacture including instructions whichimplement the function/act specified in the flowchart and/or blockdiagram block or blocks.

The computer program instructions may also be loaded onto a computer,other programmable data processing apparatus, or other devices to causea series of operational steps to be performed on the computer, otherprogrammable apparatus or other devices to produce a computerimplemented process such that the instructions which execute on thecomputer or other programmable apparatus provide processes forimplementing the functions/acts specified in the flowchart and/or blockdiagram block or blocks.

The flowcharts and block diagrams in the Figures illustrate thearchitecture, functionality, and operation of possible implementationsof systems, methods and computer program products according to variousembodiments of the present invention. In this regard, each block in theflowcharts or block diagrams may represent a module, segment, or portionof code, which comprises one or more executable instructions forimplementing the specified logical function(s). It should also be notedthat, in some alternative implementations, the functions noted in theblock may occur out of the order noted in the figures. For example, twoblocks shown in succession may, in fact, be executed substantiallyconcurrently, or the blocks may sometimes be executed in the reverseorder, depending upon the functionality involved. It will also be notedthat each block of the block diagrams and/or flowcharts illustration,and combinations of blocks in the block diagrams and/or flowchartsillustration, can be implemented by special purpose hardware-basedsystems that perform the specified functions or acts, or combinations ofspecial purpose hardware and computer instructions.

In addition, the illustrated operations of the flow diagrams and blockdiagrams show certain events occurring in a certain order. Inalternative embodiments, certain operations may be performed in adifferent order, modified or removed. Moreover, operations may be addedto the above described logic and still conform to the describedembodiments. Further, operations described herein may occur sequentiallyor certain operations may be processed in parallel. Yet further,operations may be performed by a single processing unit or bydistributed processing units.

The code implementing the described operations may further beimplemented in hardware logic or circuitry (e.g., an integrated circuitchip, Programmable Gate Array (PGA), Application Specific IntegratedCircuit (ASIC), etc. The hardware logic may be coupled to a processor toperform operations.

Devices that are in communication with each other need not be incontinuous communication with each other, unless expressly specifiedotherwise. In addition, devices that are in communication with eachother may communicate directly or indirectly through one or moreintermediaries.

A description of an embodiment with several components in communicationwith each other does not imply that all such components are required. Onthe contrary a variety of optional components are described toillustrate the wide variety of possible embodiments of the presentinvention.

Further, although process steps, method steps, algorithms or the likemay be described in a sequential order, such processes, methods andalgorithms may be configured to work in alternate orders. In otherwords, any sequence or order of steps that may be described does notnecessarily indicate a requirement that the steps be performed in thatorder. The steps of processes described herein may be performed in anyorder practical. Further, some steps may be performed simultaneously.

When a single device or article is described herein, it will be readilyapparent that more than one device/article (whether or not theycooperate) may be used in place of a single device/article. Similarly,where more than one device or article is described herein (whether ornot they cooperate), it will be readily apparent that a singledevice/article may be used in place of the more than one device orarticle or a different number of devices/articles may be used instead ofthe shown number of devices or programs. The functionality and/or thefeatures of a device may be alternatively embodied by one or more otherdevices which are not explicitly described as having suchfunctionality/features. Thus, other embodiments of the present inventionneed not include the device itself.

The terminology used herein is for the purpose of describing particularembodiments only and is not intended to be limiting of the invention. Asused herein, the singular forms “a”, “an” and “the” are intended toinclude the plural forms as well, unless the context clearly indicatesotherwise. It will be further understood that the terms “comprises”and/or “comprising,” when used in this specification, specify thepresence of stated features, integers, steps, operations, elements,and/or components, but do not preclude the presence or addition of oneor more other features, integers, steps, operations, elements,components, and/or groups thereof

The terms “an embodiment”, “embodiment”, “embodiments”, “theembodiment”, “the embodiments”, “one or more embodiments”, “someembodiments”, and “one embodiment” mean “one or more (but not all)embodiments of the present invention(s)” unless expressly specifiedotherwise.

The terms “including”, “comprising”, “having” and variations thereofmean “including but not limited to”, unless expressly specifiedotherwise.

The enumerated listing of items does not imply that any or all of theitems are mutually exclusive, unless expressly specified otherwise.

The corresponding structures, materials, acts, and equivalents of allmeans or step plus function elements in the claims below are intended toinclude any structure, material, or act for performing the function incombination with other claimed elements as specifically claimed. Thedescription of embodiments of the present invention has been presentedfor purposes of illustration and description, but is not intended to beexhaustive or limited to the invention in the form disclosed. Manymodifications and variations will be apparent to those of ordinary skillin the art without departing from the scope and spirit of the invention.The embodiments were chosen and described in order to best explain theprinciples of the invention and the practical application, and to enableothers of ordinary skill in the art to understand the invention forvarious embodiments with various modifications as are suited to theparticular use contemplated.

The foregoing description of embodiments of the invention has beenpresented for the purposes of illustration and description. It is notintended to be exhaustive or to limit the embodiments to the preciseform disclosed. Many modifications and variations are possible in lightof the above teaching. It is intended that the scope of the embodimentsbe limited not by this detailed description, but rather by the claimsappended hereto. The above specification, examples and data provide acomplete description of the manufacture and use of the composition ofthe embodiments. Since many embodiments may be made without departingfrom the spirit and scope of the invention, the embodiments reside inthe claims hereinafter appended or any subsequently-filed claims, andtheir equivalents.

1. A computer-implemented method, comprising: receive, with a processorof a computer, a message before the message is posted to a social mediaservice; analyzing, with the processor of the computer, the messageusing data analytics to obtain analysis results; comparing, with theprocessor of the computer, the obtained analysis results to similaranalysis results stored for at least one pre-existing message; for oneor more correlations between the message and the at least onepre-existing message, determining, with the processor of the computer,one or more contributing terms that have semantic meaning within acontext of the social media service; based on the one or morecontributing terms, generating, with the processor of the computer, oneor more suggestions for improving the message; and modifying, with theprocessor of the computer, the message based on the one or moresuggestions.
 2. The method of claim 1, wherein the one or moresuggestions are provided as a ranked list of improvements to the messagebased on strengths of the one or more correlations.
 3. The method ofclaim 1, wherein the one or more suggestions indicate at least one ofsuggestions for modifying elements of the message and suggestions foradding additional content or meta-information to the message.
 4. Themethod of claim 1, wherein the one or more contributing terms include atleast one of a cross-reference, a hashtag, a name, a location, and anevent.
 5. The method of claim 1, wherein the data analytics include textanalytics.
 6. The method of claim 1, further comprising: storing themessage and analysis information about the message for use in analyzingother messages.
 7. The method of claim 1, wherein a Software as aService (SaaS) is provided to perform the method.
 8. A computer programproduct, the computer program product comprising a computer readablestorage medium having program code embodied therewith, the program codeexecutable by at least one processor to: receive, by the at least oneprocessor, a message before the message is posted to a social mediaservice; analyze, by the at least one processor, the message using dataanalytics to obtain analysis results; compare, by the at least oneprocessor, the obtained analysis results to similar analysis resultsstored for at least one pre-existing message; for one or morecorrelations between the message and the at least one pre-existingmessage, determine, by the at least one processor, one or morecontributing terms that have semantic meaning within a context of thesocial media service; based on the one or more contributing terms,generate, by the at least one processor, one or more suggestions forimproving the message; and modify, by the at least one processor, themessage based on the one or more suggestions.
 9. The computer programproduct of claim 8, wherein the one or more suggestions are provided asa ranked list of improvements to the message based on strengths of theone or more correlations.
 10. The computer program product of claim 8,wherein the one or more suggestions indicate at least one of suggestionsfor modifying elements of the message and suggestions for addingadditional content or meta-information to the message.
 11. The computerprogram product of claim 8, wherein the one or more contributing termsinclude at least one of a cross-reference, a hashtag, a name, alocation, and an event.
 12. The computer program product of claim 8,wherein the data analytics include text analytics.
 13. The computerprogram product of claim 8, wherein the program code is executable bythe at least one processor to: store the message and analysisinformation about the message for use in analyzing other messages. 14.The computer program product of claim 8, wherein a Software as a Service(SaaS) is configured to perform the computer program product operations.15. A computer system, comprising: one or more processors, one or morecomputer-readable memories, and one or more computer-readable, tangiblestorage devices; and program instructions, stored on at least one of theone or more computer-readable, tangible storage devices for execution byat least one of the one or more processors via at least one of the oneor more memories, to: receive a message before the message is posted toa social media service; analyze the message using data analytics toobtain analysis results; compare the obtained analysis results tosimilar analysis results stored for at least one pre-existing message;for one or more correlations between the message and the at least onepre-existing message, determine one or more contributing terms that havesemantic meaning within a context of the social media service; based onthe one or more contributing terms, generate one or more suggestions forimproving the message; and modify the message based on the one or moresuggestions.
 16. The computer system of claim 15, wherein the one ormore suggestions are provided as a ranked list of improvements to themessage based on strengths of the one or more correlations.
 17. Thecomputer system of claim 15, wherein the one or more suggestionsindicate at least one of suggestions for modifying elements of themessage and suggestions for adding additional content ormeta-information to the message.
 18. The computer system of claim 15,wherein the one or more contributing terms include at least one of across-reference, a hashtag, a name, a location, and an event.
 19. Thecomputer system of claim 15, wherein the data analytics include textanalytics.
 20. The computer system of claim 15, wherein the programinstructions are stored on at least one of the one or morecomputer-readable, tangible storage devices for execution by at leastone of the one or more processors via at least one of the one or morememories to: store the message and analysis information about themessage for use in analyzing other messages.
 21. The computer system ofclaim 10, wherein a Software as a Service (SaaS) is provided to performthe system operations.